Intrinsic Riemannian functional data analysis for sparse longitudinal observations
Author:
Affiliation:
1. School of Mathematical Sciences, Center for Statistical Science, Peking University
2. Department of Statistics and Data Science, National University of Singapore
Publisher
Institute of Mathematical Statistics
Subject
Statistics, Probability and Uncertainty,Statistics and Probability
Reference53 articles.
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3. Bhattacharya, R. and Patrangenaru, V. (2003). Large sample theory of intrinsic and extrinsic sample means on manifolds. I. Ann. Statist. 31 1–29.
4. Dai, X. and Müller, H.-G. (2018). Principal component analysis for functional data on Riemannian manifolds and spheres. Ann. Statist. 46 3334–3361.
5. Dryden, I. L., Koloydenko, A. and Zhou, D. (2009). Non-Euclidean statistics for covariance matrices, with applications to diffusion tensor imaging. Ann. Appl. Stat. 3 1102–1123.
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